Applications of advanced data science tools for data retrieval, statistical analysis and machine learning, optimization, and visualization. Multiple case studies will illustrate the practical use of these tools.

Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 (preferred) or Computer Science16. A minimum letter grade of C or better must be earned in each course.

4

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
These majors only finms stsds actsc stsap stats
COBURN K M
Katie Coburn
3.3
48 reviews
ILP 3314
W
08:00 AM - 08:50 AM
17 / 25

GIRV 2119
W
09:00 AM - 09:50 AM
24 / 25

ILP 4207
W
10:00 AM - 10:50 AM
24 / 25

PHELP1445
W
12:00 PM - 12:50 PM
25 / 25 Full

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Fall 2024 . Coburn K M
CHEM 1171
T R
15:30 PM - 16:45 PM
Winter 2024 . Oh Sang-Yun
PSYCH1924
T R
11:00 AM - 12:15 PM
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PSTAT 134 Coburn K M Winter 2025 Total: 91
PSTAT 134 Coburn K M Fall 2024 Total: 78
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48
3.3
PSTAT120C . Coburn K M A Month Ago

took 120c online over the summer. overall good class, attendance was mandatory which sucked but otherwise fine

0 helpful 0 unhelpful
PSTAT131 . Coburn K M 3 Months Ago

131 with coburn was probably one of the best classes i've had at UCSB. you can tell she really cares about the material and how passionate she is. the project was also super useful

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PSTAT120B . Coburn K M 6 Months Ago

Coburn is very sweet and understanding. I will say sometimes the lectures can sometimes be hard to follow, but things like her posting handwritten notes I found quite helpful. Tests/quizzes aren't too bad

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PSTAT120B . Coburn K M 6 Months Ago

A mix of semi-lackluster lectures plus a bad TA (got unlucky, my TA was very dull and hard to understand) made me learn so little in this class, self-studying was much more effective. However, she's likely your best bet for the 120 series given decent tests and caring/kind attitude, even if she can be difficult to reach occasionally.

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PSTAT120B . Coburn K M 7 Months Ago

Didn't learn much from lectures, but easy tests and grading scheme made up for it. Overall would recommend taking.

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PSTAT120B . Coburn K M 8 Months Ago

Nice person but not very accessible outside of class. Lectures are lackluster, expect to self study a big portion of the class. Dont expect to leave with good knowledge of mathematical statistics.

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PSTAT 126
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PSTAT 126
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PSTAT 126
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17:00 PM - 18:15 PM
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PSTAT 130
122 / 125 Enrolled
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Julie Swenson 4.3
T
09:30 AM - 10:45 AM
35.7% A
PSTAT 131
80 / 80 Full
Introduction to Statistical Machine Learning
Guo Yu 2.8
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11:00 AM - 12:15 PM
58.5% A
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79 / 80 Enrolled
Introduction to Statistical Machine Learning
Guo Yu 2.8
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12:30 PM - 13:45 PM
58.5% A